Processing 2,500 lines of code (~28,000 tokens) with Together AI — GPT-OSS-20B costs $0.0014 for codebase ingestion and $0.00252 for an AI-powered code review and refactoring pass.
Feed 2,500 lines of code into the prompt context for repository search, Q&A, or architecture planning.
Ingest 2,500 lines of code and generate audit findings, unit test recommendations, and refactor diffs.
Together AI — GPT-OSS-20B writes 2,500 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| Together AI — GPT-OSS-20B (Current) | together | $0.0014 | $0.00035 | $0.00252 | 32,768 |
| GPT-5.6 Luna | openai | $0.0051 | $0.00051 | $0.0112 | 1,050,000 |
| GPT-5.4 mini | openai | $0.0191 | $0.001912 | $0.0421 | 256,000 |
| GPT-5.4 nano | openai | $0.0051 | $0.00051 | $0.0115 | 128,000 |
| GPT-4o mini | openai | $0.003825 | $0.001912 | $0.006885 | 128,000 |
| Claude Haiku 4.5 | anthropic | $0.028 | $0.0028 | $0.056 | 1,000,000 |
On average, code yields approximately 11.2 tokens per line in Together AI — GPT-OSS-20B (tiktoken_cl100k tokenizer). Indentation, brackets, camelCase variable names, and comments slightly increase token density compared to plain English text. 2,500 lines of code produces approximately 28,000 tokens.
Sending 2,500 lines of code as context and generating a thorough code review with recommendations costs approximately $0.00252. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.00147.
Together AI — GPT-OSS-20B has a context window of 32,768 tokens. 2,500 lines of code consumes 85.45% of its total available context.